choudhuryr's Stars
psf/black
The uncompromising Python code formatter
astral-sh/uv
An extremely fast Python package and project manager, written in Rust.
plasma-umass/scalene
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
stas00/ml-engineering
Machine Learning Engineering Open Book
lux-org/lux
Automatically visualize your pandas dataframe via a single print! đź“Š đź’ˇ
rafaelpadilla/Object-Detection-Metrics
Most popular metrics used to evaluate object detection algorithms.
nicolaskruchten/pivottable
Open-source Javascript Pivot Table (aka Pivot Grid, Pivot Chart, Cross-Tab) implementation with drag'n'drop.
comet-ml/opik
From RAG chatbots to code assistants to complex agentic pipelines and beyond, build LLM systems that run better, faster, and cheaper with tracing, evaluations, and dashboards.
oegedijk/explainerdashboard
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
wangyongjie-ntu/Awesome-explainable-AI
A collection of research materials on explainable AI/ML
linkedin/luminol
Anomaly Detection and Correlation library
rafaelpadilla/review_object_detection_metrics
Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.
koaning/drawdata
Draw datasets from within Jupyter.
dssg/aequitas
Bias Auditing & Fair ML Toolkit
rasbt/scipy2023-deeplearning
jwangjie/Gaussian-Process-Regression-Tutorial
An Intuitive Tutorial to Gaussian Processes Regression
MLOps-Courses/mlops-coding-course
Learn how to create, develop, and maintain a state-of-the-art MLOps code base
a-martyn/ISL-python
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
youssefHosni/Practical-Time-Series-In-Python
Practical guidance for time series analysis in Python
D-dot-AT/Stock-Prediction-Neural-Network-and-Machine-Learning-Examples
Examples of python neural net and ML stock prediction methods with sample stock data.
initialcommit-com/git-story
Easily create video animations (.mp4) of your Git commit history, directory from your Git repo.
socialfoundations/folktables
Datasets derived from US census data
drckf/mlreview_notebooks
Jupyter notebooks for "A high-bias, low-variance introduction to Machine Learning for physicists"
Azure/PySpark-Predictive-Maintenance
Predictive Maintenance using Pyspark
cleanlab/examples
Notebooks demonstrating example applications of the cleanlab library
princetonvisualai/revise-tool
REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets --- https://arxiv.org/abs/2004.07999
ECMWFCode4Earth/challenges_2024
Discover the ECMWF Code for Earth 2024 challenges
saattrupdan/doubt
Bringing back uncertainty to machine learning.
jomariya23156/full-stack-on-prem-cv-mlops
"1 config, 1 command from Jupyter Notebook to serve Millions of users", Full-stack On-Premises MLOps system for Computer Vision from Data versioning to Model monitoring and drift detection.
cmougan/MonitoringUncertainty